Job Description

Job Summary

: As an AI Analyst, you will be responsible for analysing complex data sets, developing algorithms, and implementing AI models to solve business problems and improve decision-making processes. You will work closely with cross-functional teams to identify opportunities for AI applications, interpret results, and communicate findings to stakeholders.

Key Responsibilities:

Data Analysis:

Collect, clean, and preprocess large data sets from various sources.

Conduct exploratory data analysis to identify trends, patterns, and anomalies.

Model Development:

Develop, train, and validate machine learning models tailored to specific business needs.

Utilize algorithms and statistical techniques to enhance model performance.

Collaboration

:

Work closely with clients team to define AI project objectives and scope.

Collaborate on the integration of AI models into existing systems and workflows.

Reporting and Visualization:

Create dashboards and visualizations to communicate insights derived from data analysis and model results.

Present findings and recommendations to non-technical stakeholders in a clear and effective manner.

Continuous Improvement:

Stay up-to-date with the latest advancements in AI and machine learning technologies.

Identify opportunities for process improvements and contribute to the development of best practices.

Qualifications:

1. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master's degree is a plus.

2. Experience : 1 to 3 years

( AI work experience in real time projects is mandatory. Intern experience will not be considered)

2. Proven experience in data analysis, statistical modeling, and machine learning.

3. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow

4. Strong understanding of algorithms, data structures, and software engineering principles.

5. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

6. Ability to communicate complex technical concepts to non-technical audiences effectively.

7. Strong analytical and problem-solving skills.

8.

Familiarity with cloud platforms and exposure to AWS Sage maker is a key requirement.

Preferred Skills:

1. Experience with natural language processing (NLP), computer vision, reinforced learning RL.

2. Understanding of ethical considerations in AI and machine learning.

3.Strong understanding of deep learning principles (CNNs, loss functions, optimization) and expertise in computer vision tasks like object detection and image processing.

Proficiency in Python programming and relevant deep learning frameworks such as PyTorch or TensorFlow, along with experience in utilizing existing YOLO implementations and adapting them for specific applications

Job Type: Full-time

Pay: ?200,000.00 - ?400,000.00 per year

Benefits:

Health insurance
Work Location: In person